Model reference · open weights

H-optimus-0

H-optimus-0 is an open-weight embedding model from bioptimus, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Embeddings bioptimus 1 variants 80k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

Specifications

What it is

Makerbioptimus
TypeEmbedding models
Variants1
Runs withtimm
Released2024-07-30
Popularity80k downloads / month
Likes91
LicenceOpen weights

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
H-optimus-0BF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys h-optimus-0 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (h-optimus-0 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/embeddings \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"h-optimus-0","input":"text to embed"}'

Details

Languages, data & research

Tags

timm pytorch image-feature-extraction pathology histology medical imaging self-supervised learning vision transformer foundation model

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

Want H-optimus-0 on EU-owned hardware?

Request this model on EU hardware See what’s served now

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